Triple

T19917716
Position Surface form Disambiguated ID Type / Status
Subject Jockey Club Gold Cup E478706 entity
Predicate hasAbbreviation P43 FINISHED
Object JCGC
JCGC is the commonly used abbreviation for the Jockey Club Gold Cup, a prestigious American Grade I thoroughbred horse race.
 E1402084 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: JCGC | Statement: [Jockey Club Gold Cup, hasAbbreviation, JCGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JCGC
Context triple: [Jockey Club Gold Cup, hasAbbreviation, JCGC]
  • A. JCG
    JCG is the maritime safety and law enforcement agency of Japan responsible for search and rescue, patrol, and security in the country's territorial waters and exclusive economic zone.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • D. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • E. JCA
    JCA is a Java EE standard that defines a pluggable architecture for integrating enterprise information systems with Java application servers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: JCGC
Triple: [Jockey Club Gold Cup, hasAbbreviation, JCGC]
Generated description
JCGC is the commonly used abbreviation for the Jockey Club Gold Cup, a prestigious American Grade I thoroughbred horse race.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JCGC
Target entity description: JCGC is the commonly used abbreviation for the Jockey Club Gold Cup, a prestigious American Grade I thoroughbred horse race.
  • A. JCG
    JCG is the maritime safety and law enforcement agency of Japan responsible for search and rescue, patrol, and security in the country's territorial waters and exclusive economic zone.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • D. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • E. JCA
    JCA is a collaborative framework within the ITU Telecommunication Standardization Sector that coordinates related standardization activities across multiple study groups and stakeholders.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65995bd60819097cfad003dd29731 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea52592481909419476f335b6046 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07f2c7dec48190a698509098479a56 completed May 16, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a07f376f5388190989a0460528945df completed May 16, 2026, 4:32 a.m.
Created at: April 10, 2026, 1:53 p.m.